Search Results for "dict"
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Showing 15 open source projects for "dict"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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python-benedict
dict subclass with keylist/keypath support
python-benedict is a dict subclass with keylist/keypath/keyattr support, I/O shortcuts (base64, cli, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml) and many utilities... for humans, obviously. -
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PyMySQL
MySQL client library for Python
PyMySQL is a 100% Python implementation of the MySQL client protocol, allowing Python applications to connect to MySQL and MariaDB databases without requiring binary extensions. It supports standard DB‑API 2.0 features, such as cursors, transactions, and parameterized queries. PyMySQL is versatile for web applications, scripts, and tools, offering compatibility with ORMs like SQLAlchemy and frameworks like Django. -
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Pottery
Redis for humans
Redis is awesome, but Redis commands are not always intuitive. Pottery is a Pythonic way to access Redis. If you know how to use Python dicts, then you already know how to use Pottery. Pottery is useful for accessing Redis more easily, and also for implementing microservice resilience patterns, and it has been battle-tested in production at scale. -
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TinyDB
Document oriented database optimized for you
...The target are small apps that would be blown away by a SQL-DB or an external database server. The current source code has 1800 lines of code (with about 40% documentation) and 1600 lines tests. Like MongoDB, you can store any document (represented as dict) in TinyDB. TinyDB is designed to be simple and fun to use by providing a simple and clean API. TinyDB neither needs an external server (as e.g. PyMongo) nor any dependencies from PyPI. TinyDB works on all modern versions of Python and PyPy. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares. ... -
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AIOHTTP
Asynchronous HTTP client/server framework for asyncio and Python
...If you were constructing the URL by hand, this data would be given as key/value pairs in the URL after a question mark, e.g. httpbin.org/get?key=val. Requests allows you to provide these arguments as a dict, using the params keyword argument. aiohttp internally performs URL canonicalization before sending request. -
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Stable Baselines3
PyTorch version of Stable Baselines
Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version of Stable Baselines. You can read a detailed presentation of Stable Baselines3 in the v1.0 blog post or our JMLR paper. These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around... -
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jello
CLI tool to filter JSON and JSON Lines data with Python syntax
Filter JSON and JSON Lines data with Python syntax. jello is similar to jq in that it processes JSON and JSON Lines data except jello uses standard python dict and list syntax. JSON or JSON Lines can be piped into jello via STDIN or can be loaded from a JSON file or JSON Lines files (JSON Lines are automatically slurped into a list of dictionaries). Once loaded, the data is available as a python list or dictionary object named '_'. Processed data can be output as JSON, JSON Lines, bash array lines, or a grep-able schema. -
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django-bootstrap 4
Bootstrap 4 integration with Django
Bootstrap 4 integration for Django. The goal of this project is to seamlessly blend Django and Bootstrap 4. The django-bootstrap4 has some pre-configured settings. They can be modified by adding a dict variable called BOOTSTRAP4 in your settings.py and customizing the values you want. You can customize the output of django-bootstrap4 by writing your own templates. -
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Flasgger
Easy OpenAPI specs and Swagger UI for your Flask API
...Flasgger also provides validation of the incoming data, using the same specification it can validate if the data received as a POST, PUT, PATCH is valid against the schema defined using YAML, Python dictionaries or Marshmallow Schemas. Flasgger can work with simple function views or MethodViews using docstring as specification, or using @swag_from decorator to get specification from YAML or dict and also provides SwaggerView which can use Marshmallow Schemas as specification. Flasgger is compatible with Flask-RESTful so you can use Resources and swag specifications together, take a look at the restful example. Flasgger also supports Marshmallow APISpec as base template for specification. -
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jsonfield
A reusable Django model field for storing ad-hoc JSON data
jsonfield is a reusable model field that allows you to store validated JSON, automatically handling serialization to and from the database. To use, add jsonfield.JSONField to one of your models. Note: django.contrib.postgres now supports PostgreSQL's jsonb type, which includes extended querying capabilities. If you're an end user of PostgreSQL and want full-featured JSON support, then it is recommended that you use the built-in JSONField. However, jsonfield is still useful when your app... -
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Flask-GraphQL
Adds GraphQL support to your Flask application
...The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is set to dict with request object at key request. The root_value you want to provide to graphql execute. -
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Python Variable Variables Manager
a python manager class for named variables (variable name is variable)
...This is a good idead, however, there are many aspects arising from this: * you'll yourself be responsible for this dictionary, including garbage collection (of in-dict variables) etc. * there's no locality for variable variables, all are global within the dictionary, unless you locally define different dictionaries for this purpose * you are more flexible, e.g. you can decide to overwrite existing variables or, alternatively, to raise an exception on overwriting (e.g. for const variables) * if you want to rename a variable name, you'll have to do it manually * ... ... -
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GimpPy uses img maps & an img as the input, output is a report.py file used to generate PDFs, the out files may run solo or chained together to make more complex multi page reports. Input required is a dict with vals for flds you have mapped on your img.
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14
pykb
Python Killboard Platform for EVE Online
...Aggregates exist along with code to maintain them to enable high speed reports for summarized data. A point calculation system is included as is support for parsing German and Russian kill mail text. Caching exists in two forms, a basic in memory dict based caching system suitable for single process tasks and integration with uwsgi's powerful and fast built in cache. Utility modules are provided for adding in killmails, backfilling killmails and dumping them via the command line. These also serve as reusable code for web apps or at least as usage examples. A sample web app using pykb is included. -
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Python module for accessing RFC 2229 compliant dictionary servers. Includes classes and runs as a standalone client (a la dict) as well as a CGI script.
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